Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

20185,859 citationsJournal Articlegold Open Access

Authors

Nicholas A. Bokulich · Northern Arizona University

Benjamin D. Kaehler · Australian National University

Jai Ram Rideout · Northern Arizona University

Matthew R. Dillon · Northern Arizona University

Evan Bolyen · Northern Arizona University

Rob Knight · University of California, San Diego

Gavin Huttley

Abstract

Our results illustrate the importance of parameter tuning for optimizing classifier performance, and we make recommendations regarding parameter choices for these classifiers under a range of standard operating conditions. q2-feature-classifier and tax-credit are both free, open-source, BSD-licensed packages available on GitHub.

Topics & Keywords

Genomics and Phylogenetic Studies Microbial Community Ecology and Physiology Machine Learning in Bioinformatics

Publication Details

Published in: Microbiome

Volume 6, Issue 1, pp. 90-90

DOI: 10.1186/s40168-018-0470-z

Field-Weighted Citation Impact: 129.35

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Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

Authors

Abstract

Topics & Keywords

Publication Details